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一种定位子集的自顶向下挖掘算法研究
引用本文:方刚,涂承胜,熊江. 一种定位子集的自顶向下挖掘算法研究[J]. 计算机工程与应用, 2011, 47(18): 142-145. DOI: 10.3778/j.issn.1002-8331.2011.18.041
作者姓名:方刚  涂承胜  熊江
作者单位:重庆三峡学院 数学与计算机科学学院,重庆 万州 404000
摘    要:针对现有自顶向下挖掘算法的不足,即在非频繁项目产生子集时和修剪重复产生的子集时存在冗余计算,提出一种基于定位子集的自顶向下挖掘算法,其适合于挖掘较长频繁项目集;算法按自顶向下策略用定位子集的方法产生非频繁项的子集,并有效地修剪冗余子集和减少重复计算,提高了算法的效率。实验证明,与现有的自顶向下挖掘算法相比,该算法是快速而有效的。

关 键 词:定位子集  自顶向下  长频繁项目集  挖掘算法  
修稿时间: 

Research of top-down mining algorithm based on orientation subset
FANG Gang,TU Chengsheng,XIONG Jiang. Research of top-down mining algorithm based on orientation subset[J]. Computer Engineering and Applications, 2011, 47(18): 142-145. DOI: 10.3778/j.issn.1002-8331.2011.18.041
Authors:FANG Gang  TU Chengsheng  XIONG Jiang
Affiliation:College of Mathematics and Computer Science,Chongqing Three Gorges University,Wanzhou,Chongqing 404000,China
Abstract:Aiming at disadvantage of presented top-down mining algorithm that has redundant computing when non-frequent itemsets generate their subsets and prune some repeatedly generated subsets,an algorithm of top-down mining based on orien- tation subset is proposed,which is suitable for mining relative long frequent itemsets.The algorithm uses orientation subset to generate subsets of non-frequent itemsets by top-down strategy,which can efficiently prune redundant subsets and reduce repeatedly computing to improve its efficiency.Comparing with presented top-down mining algorithms,the experiments indicate that it is fast and efficient.
Keywords:orientation subset  top-down  long frequent itemsets  mining algorithm
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